Joseph Jay Williams

According to our database1, Joseph Jay Williams authored at least 45 papers between 2008 and 2018.

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Bibliography

2018
Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content.
CoRR, 2018

Increasing Response Rates to Email Surveys in MOOCs.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Understanding the Effect of In-Video Prompting on Learners and Instructors.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Harvesting Caregiving Knowledge: Design Considerations for Integrating Volunteer Input in Dementia Care.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Educational Question Routing in Online Student Communities.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

MOOClets: A Framework for Dynamic Experimentation and Personalization.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
The Future of Adaptive Learning: Does the Crowd Hold the Key?
I. J. Artificial Intelligence in Education, 2016

Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Discovering 'Tough Love' Interventions Despite Dropout.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalies.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Connecting Online Work and Online Education at Scale.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Using and Designing Platforms for In Vivo Education Experiments.
CoRR, 2015

Supporting Instructors in Collaborating with Researchers using MOOClets.
CoRR, 2015

A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons.
CoRR, 2015

A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons.
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Using and Designing Platforms for In Vivo Educational Experiments.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Supporting Instructors in Collaborating with Researchers using MOOClets.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

A Playful Game Changer: Fostering Student Retention in Online Education with Social Gamification.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Connecting Collaborative & Crowd Work with Online Education.
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014
Effects of Comparison and Explanation on Analogical Transfer.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Online A/B tests & experiments: a practical but scientifically informed introduction.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Learning online via prompts to explain.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Learning innovation at scale.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
Evaluating computational models of explanation using human judgments.
CoRR, 2013

Evaluating computational models of explanation using human judgments.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Effects of Explaining Anomalies on the Generation and Evaluation of Hypotheses.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Effects of Explanation and Comparison on Category Learning.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Measurably Increasing Motivation in MOOCs.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Providing implicit formative feedback to learners by combining self-generated and instructional explanations.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Improving learning in MOOCs with Cognitive Science.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012
Explaining increases belief revision in the face of (many) anomalies.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Explaining Influences Children's Reliance on Evidence and Prior Knowledge in Causal Induction.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Explaining drives the discovery of real and illusory patterns.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Explanation-based Mechanisms for Learning: An Interdisciplinary Approach.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
The Role of Explanation in Discovery and Generalization: Evidence From Category Learning.
Cognitive Science, 2010

The role of explanation in discovery and generalization: evidence from category learning.
Proceedings of the Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences, 2010

2008
Modeling human function learning with Gaussian processes.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008


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